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Java example source code file (Builder.java)

This example Java source code file (Builder.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

builder, deprecated, documentiterator, inmemorylookupcache, invertedindex, list, sentenceiterator, textvectorizer, tokenizerfactory, util, vocabcache

The Builder.java Java example source code

 *  * Copyright 2015 Skymind,Inc.
 *  *
 *  *    Licensed under the Apache License, Version 2.0 (the "License");
 *  *    you may not use this file except in compliance with the License.
 *  *    You may obtain a copy of the License at
 *  *
 *  *        http://www.apache.org/licenses/LICENSE-2.0
 *  *
 *  *    Unless required by applicable law or agreed to in writing, software
 *  *    distributed under the License is distributed on an "AS IS" BASIS,
 *  *    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  *    See the License for the specific language governing permissions and
 *  *    limitations under the License.

package org.deeplearning4j.bagofwords.vectorizer;

import org.deeplearning4j.models.word2vec.wordstore.VocabCache;
import org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache;
import org.deeplearning4j.text.documentiterator.DocumentIterator;
import org.deeplearning4j.text.invertedindex.InvertedIndex;
import org.deeplearning4j.text.sentenceiterator.SentenceIterator;
import org.deeplearning4j.text.stopwords.StopWords;
import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;

import java.util.List;

public abstract class Builder {
    protected VocabCache cache = new InMemoryLookupCache();
    protected TokenizerFactory tokenizerFactory;
    protected List<String> stopWords = StopWords.getStopWords();
    protected int minWordFrequency = 5;
    protected DocumentIterator docIter;
    protected SentenceIterator sentenceIterator;
    protected List<String> labels;
    protected InvertedIndex index;
    protected int batchSize = 1000;
    protected double sample = 0.0;
    protected boolean stem = false;
    protected boolean cleanup = false;

    public Builder cleanup(boolean cleanup) {
        this.cleanup = cleanup;
        return this;

    public Builder stem(boolean stem) {
        this.stem = stem;
        return this;

    public Builder sample(double sample) {
        this.sample = sample;
        return this;

    public Builder batchSize(int batchSize) {
        this.batchSize = batchSize;
        return this;

    public Builder index(InvertedIndex index) {
        this.index = index;
        return this;

    public Builder labels(List<String> labels) {
        this.labels = labels;
        return this;

    public Builder cache(VocabCache cache) {
        this.cache = cache;
        return this;

    public Builder tokenize(TokenizerFactory tokenizerFactory) {
        this.tokenizerFactory = tokenizerFactory;
        return this;

    public Builder stopWords(List<String> stopWords) {
        this.stopWords = stopWords;
        return this;

    public Builder minWords(int minWordFrequency) {
        this.minWordFrequency = minWordFrequency;
        return this;

    public Builder iterate(DocumentIterator docIter) {
        this.docIter = docIter;
        return this;

    public Builder iterate(SentenceIterator sentenceIterator) {
        this.sentenceIterator = sentenceIterator;
        return this;

    public abstract TextVectorizer build();

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